User contributions for Rjcase
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21 December 2010
- 17:4917:49, 21 December 2010 diff hist +780 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization No edit summary
- 17:3317:33, 21 December 2010 diff hist +265 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Introduction
- 17:1917:19, 21 December 2010 diff hist −11 a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →Introduction
- 16:0016:00, 21 December 2010 diff hist +951 consistency of Trace Norm Minimization No edit summary
- 15:4015:40, 21 December 2010 diff hist +259 consistency of Trace Norm Minimization →Introduction
- 15:2815:28, 21 December 2010 diff hist +142 consistency of Trace Norm Minimization →Introduction
- 15:0415:04, 21 December 2010 diff hist +147 multi-Task Feature Learning →Introduction
- 14:5814:58, 21 December 2010 diff hist +479 multi-Task Feature Learning →Introduction
- 12:5512:55, 21 December 2010 diff hist +1,127 optimal Solutions forSparse Principal Component Analysis No edit summary
- 12:1412:14, 21 December 2010 diff hist +307 optimal Solutions forSparse Principal Component Analysis →Introduction
- 11:4911:49, 21 December 2010 diff hist 0 optimal Solutions forSparse Principal Component Analysis →Introduction
20 December 2010
- 22:5022:50, 20 December 2010 diff hist +69 probabilistic Matrix Factorization No edit summary
- 22:4422:44, 20 December 2010 diff hist +411 probabilistic Matrix Factorization →Introduction and Motivation (Netflix Dataset)
- 22:3722:37, 20 December 2010 diff hist +973 probabilistic Matrix Factorization No edit summary
29 November 2010
- 13:4913:49, 29 November 2010 diff hist +8 compressive Sensing (Candes) No edit summary
28 November 2010
- 00:2100:21, 28 November 2010 diff hist −89 probabilistic PCA with GPLVM No edit summary
- 00:2000:20, 28 November 2010 diff hist +43 sign up for your presentation →Set B
- 00:1700:17, 28 November 2010 diff hist +385 N Talk:Probabilistic PCA with GPLVM Created page with "Some easy improvements for those who want to get some easy marks :) * Put in diagrams in the results sections * A few of the experiments (such as the swiss roll) weren't discusse..." current
- 00:1400:14, 28 November 2010 diff hist +1 probabilistic PCA with GPLVM →Results
- 00:1400:14, 28 November 2010 diff hist +58 probabilistic PCA with GPLVM No edit summary
- 00:1200:12, 28 November 2010 diff hist +10,830 N probabilistic PCA with GPLVM Created page with "Probabilistic Principle Component Analysis with Gaussian Process Latent Variable Models = Overview = The development of principal component analysis (PCA), a statistical tool w..."
- 00:1000:10, 28 November 2010 diff hist +141 N File:GplvmOverview.png Formulation of the Gaussian Process Latent Variable Model in the context of deterministic and stochastic dimensionality reduction techniques. current
- 00:0700:07, 28 November 2010 diff hist +189 paper Summaries →Set B
25 November 2010
- 19:1019:10, 25 November 2010 diff hist +39 paper Summaries →Compressive Sensing (Candes)
- 19:0919:09, 25 November 2010 diff hist +66 paper Summaries →Set A
- 19:0219:02, 25 November 2010 diff hist +76 compressive Sensing (Candes) No edit summary
- 19:0019:00, 25 November 2010 diff hist +374 compressive Sensing (Candes) No edit summary
- 18:4718:47, 25 November 2010 diff hist −24 compressive Sensing (Candes) No edit summary
- 18:4618:46, 25 November 2010 diff hist +9,440 N compressive Sensing (Candes) Created page with "=== Motivation === In order to make quantitative observations about our environment, we must often acquire signals. And to acquire these signals, we must have some minimum number..."
- 18:3118:31, 25 November 2010 diff hist +41 sign up for your presentation No edit summary
23 November 2010
- 17:4517:45, 23 November 2010 diff hist +324 supervised Dictionary Learning No edit summary
- 17:2117:21, 23 November 2010 diff hist +155 matrix Completion with Noise No edit summary
17 November 2010
- 20:0620:06, 17 November 2010 diff hist +12 compressive Sensing No edit summary
- 19:5319:53, 17 November 2010 diff hist +1,189 compressive Sensing No edit summary
- 19:3519:35, 17 November 2010 diff hist +70 compressive Sensing →Part 1 of the Solution: Constructing a Stable Measurement Matrix
- 19:2819:28, 17 November 2010 diff hist +253 deflation Methods for Sparse PCA No edit summary
10 November 2010
- 20:0920:09, 10 November 2010 diff hist +140 discLDA: Discriminative Learning for Dimensionality Reduction and Classification No edit summary
- 14:5014:50, 10 November 2010 diff hist +15 sign up for your presentation No edit summary
9 November 2010
- 17:2417:24, 9 November 2010 diff hist +852 discLDA: Discriminative Learning for Dimensionality Reduction and Classification No edit summary
- 17:1117:11, 9 November 2010 diff hist +260 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis No edit summary
- 16:5816:58, 9 November 2010 diff hist −3 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis No edit summary
- 16:5716:57, 9 November 2010 diff hist +256 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis No edit summary
- 16:4616:46, 9 November 2010 diff hist +429 a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis No edit summary
8 November 2010
- 16:5416:54, 8 November 2010 diff hist +52 sign up for your presentation No edit summary
7 November 2010
- 17:5417:54, 7 November 2010 diff hist 0 sign up for your presentation No edit summary
31 October 2010
- 14:4814:48, 31 October 2010 diff hist +678 proposal for STAT946 projects Fall 2010 No edit summary
21 October 2010
- 11:1611:16, 21 October 2010 diff hist −16 sign up for your presentation No edit summary
- 10:4010:40, 21 October 2010 diff hist +234 sign up for your presentation No edit summary
14 October 2010
- 18:0718:07, 14 October 2010 diff hist +10 sign up for your presentation No edit summary